Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 58,931 to 58,940 of 227,876 articles

Attention-Based Variational Framework for Joint and Individual Components Learning with Applications in Brain Network Analysis

arXiv Jan 23, 2026
Brain organization is increasingly characterized through multiple imaging modalities, most notably structural connectivity (SC) and functional connectivity (FC). Integrating these inherently distinct yet complementary data sources is essential for un... read more 
Machine Learning cs.CV stat.ML

PC-MCL: Patient-Consistent Multi-Cycle Learning with multi-label bias correction for respiratory sound classification

arXiv Jan 23, 2026
Automated respiratory sound classification supports the diagnosis of pulmonary diseases. However, many deep models still rely on cycle-level analysis and suffer from patient-specific overfitting. We propose PC-MCL (Patient-Consistent Multi-Cycle Lear... read more 
Audio and Speech Processing cs.AI cs.LG cs.SD

GlassesGB: Controllable 2D GAN-Based Eyewear Personalization for 3D Gaussian Blendshapes Head Avatars

arXiv Jan 23, 2026
Virtual try-on systems allow users to interactively try different products within VR scenarios. However, most existing VTON methods operate only on predefined eyewear templates and lack support for fine-grained, user-driven customization. While Glass... read more 
Computer Vision and Pattern Recognition

GRASP: Guided Region-Aware Sparse Prompting for Adapting MLLMs to Remote Sensing

arXiv Jan 23, 2026
In recent years, Multimodal Large Language Models (MLLMs) have made significant progress in visual question answering tasks. However, directly applying existing fine-tuning methods to remote sensing (RS) images often leads to issues such as overfitti... read more 
Computer Vision and Pattern Recognition

LoD Sketch Extraction from Architectural Models Using Generative AI: Dataset Construction for Multi-Level Architectural Design Generation

arXiv Jan 23, 2026
For architectural design, representation across multiple Levels of Details (LoD) is essential for achieving a smooth transition from conceptual massing to detailed modeling. However, traditional LoD modeling processes rely on manual operations that a... read more 
Computer Vision and Pattern Recognition cs.AI

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals

arXiv Jan 23, 2026
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals (CIs) play a central role in this process by indicating how precise a ... read more 
Computer Vision and Pattern Recognition cs.LG

StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors

arXiv Jan 23, 2026
Annotating medical data for training AI models is often costly and limited due to the shortage of specialists with relevant clinical expertise. This challenge is further compounded by privacy and ethical concerns associated with sensitive patient inf... read more 
Computer Vision and Pattern Recognition

iFSQ: Improving FSQ for Image Generation with 1 Line of Code

arXiv Jan 23, 2026
The field of image generation is currently bifurcated into autoregressive (AR) models operating on discrete tokens and diffusion models utilizing continuous latents. This divide, rooted in the distinction between VQ-VAEs and VAEs, hinders unified mod... read more 
Computer Vision and Pattern Recognition

How does Graph Structure Modulate Membership-Inference Risk for Graph Neural Networks?

arXiv Jan 23, 2026
Graph neural networks (GNNs) have become the standard tool for encoding data and their complex relationships into continuous representations, improving prediction accuracy in several machine learning tasks like node classification and link prediction... read more 
Machine Learning cs.CR

AI Developments for T and B Cell Receptor Modeling and Therapeutic Design

arXiv Jan 23, 2026
Artificial intelligence (AI) is accelerating progress in modeling T and B cell receptors by enabling predictive and generative frameworks grounded in sequence data and immune context. This chapter surveys recent advances in the use of protein languag... read more 
Biomolecules
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